Gemini 3.5 Flash vs Kimi K2.6
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 3.5 Flash and Kimi K2.6.
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
Kimi K2.6
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
Technical Specifications
| Specification | Gemini 3.5 Flash | Kimi K2.6 |
|---|---|---|
| Provider | Moonshot AI | |
| Context Window | 1,048,576 tokens | 262,144 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 200 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-19 | 2026-04-20 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
Kimi K2.6
$0.66
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
Kimi K2.6
$3.41
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 3.5 Flash Quirks & Gotchas
- ▸Excellent multimodal performance — native video understanding
- ▸Tool calling via Google's native function_declarations in Vertex AI
Kimi K2.6 Quirks & Gotchas
No developer gotchas reported.